""" author: 汪瑞(wangrui) description: 基于ods_asin_variat进行数据清洗 table_read_name: ods_asin_variat table_save_name: dwd_asin_variat table_save_level: dwd version: 3.0 created_date: 2023-01-03 updated_date: 2023-01-03 """ import os import sys from pyspark.storagelevel import StorageLevel sys.path.append(os.path.dirname(sys.path[0])) # 上级目录 from utils.templates import Templates # from ..utils.templates import Templates #from AmazonSpider.pyspark_job.utils.templates import Templates # 分组排序的udf窗口函数 from pyspark.sql.window import Window from pyspark.sql import functions as F from pyspark.sql.types import StringType, IntegerType class DwdStAsinInfo(Templates): def __init__(self, site_name="us"): super().__init__() self.site_name = site_name self.db_save = f"dwd_asin_variat" self.spark = self.create_spark_object(app_name=f"{self.db_save} {self.site_name}, {self.date_info}") self.df_date = self.get_year_week_tuple() self.df_save = self.spark.sql(f"select 1+1;") self.df_asin_variat = self.spark.sql(f"select 1+1;") self.week_counts = 1 if self.date_type == 'week' else len(self.year_week_tuple) self.partitions_by = ['site_name'] self.reset_partitions(20) if self.date_type in ["week"]: self.reset_partitions(100) elif self.date_type in ["month", "4_week"]: self.reset_partitions(350) elif self.date_type in ["quarter"]: self.reset_partitions(600) def read_data(self): print("1.1 读取ods_asin_variat表") sql = f"select " \ f"asin, " \ f"parent_asin, " \ f"color as asin_color, " \ f"size as asin_size, " \ f"style as asin_style, " \ f"created_time, " \ f"updated_time " \ f"from dim_asin_variation_info where site_name='{self.site_name}';" self.df_asin_variat = self.spark.sql(sqlQuery=sql).cache() self.df_asin_variat.show(10, truncate=False) def handle_variat(self): self.df_asin_variat = self.df_asin_variat.select("asin", "parent_asin", "asin_color", "asin_size", "asin_style", "created_time", "updated_time").dropDuplicates() variat_window = Window.partitionBy(["asin"]).orderBy( self.df_asin_variat.updated_time.desc_nulls_last() ) self.df_asin_variat = self.df_asin_variat.withColumn("variat_rank", F.row_number().over(window=variat_window)) self.df_asin_variat = self.df_asin_variat.filter("variat_rank=1") self.df_save= self.df_asin_variat.drop("variat_rank") self.df_save.show(10, truncate=False) def handle_data(self): self.handle_variat() self.df_save = self.df_save.withColumn("site_name", F.lit(self.site_name)) if __name__ == '__main__': site_name = sys.argv[1] # 参数1:站点 handle_obj = DwdStAsinInfo(site_name=site_name) handle_obj.run()